160 search results - page 13 / 32 » Maximum a posteriori based regularization parameter selectio... |
ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
Based on scaling laws describing the statistical structure
of turbulent motion across scales, we propose a multiscale
and non-parametric regularizer for optic-flow estimation.
R...
102
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NIPS
2004
15 years 1 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
ICIP
1998
IEEE
16 years 1 months ago
1998
IEEE
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
101
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ICIP
2004
IEEE
16 years 1 months ago
2004
IEEE
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
101
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TEC
2008
14 years 11 months ago
2008
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...